We show that a set of real-valued word vectors formed by right singular vectors of a transformed co-occurrence matrix are meaningful for determining different types of dependency relations between words. Our experimental results on the task of dependency parsing confirm the superiority of the word vectors to the other sets of word vectors generated by popular methods of word embedding. We also ...

Agricultural cooperatives around the world are facing major structural challenges as they respond to a more industrialized agriculture, globalization, and freer trade. Co-ops are responding to these changes by merging, by finding new ways of raising capital, and by developing new organizational forms such as New Generation Co-ops. One of the critically important issues co-ops face as they under...

In this paper we have developed a system that can automatically discriminate between machine-printed and handwritten words in structured bi-lingual (Arabic and French) form document layout. Our system has been applied in the context of Tunisian National Health Insurance Fund for medical care costs refund with encouraging results. In the used forms, handwritten data usually touch or cross the pr...

When changing the format of an image from simple RGB to HSV, YIQ and Dithered image, the characteristics of image also change. In this paper, the similar images in the above formats are retrieved using statistical and structural retrieving techniques i.e. GLCM (Gray Level Co-occurrence Matrix) and Wavelet Decomposition techniques. The best results are coming for dithered, HSV images by using GL...

This paper contributes to the development of the capabilities approach by showing that capabilities can, counter prevailing wisdom, be measured. By operationalising the capabilities element of Sen’s non-welfarist theory, the paper develops the data required by this novel approach to welfare economics and by exploring relations to life-satisfaction (happiness) it also examines new economic co-va...

Field Editor: G. Cassar Wedocument the role of entrepreneurial founder and venture capital (VC) partner co-ethnicity in shaping investment relationships. Co-ethnicity increases the likelihood that a VC firm invests in a company. Conditional on investment, co-ethnicity strengthens the degree of involvement by raising the likelihood of VC board of director involvement and increasing the size and ...

The paper presents a novel approach for representing color and intensity of pixel neighborhoods in an image using a co-occurrence matrix. After analyzing the properties of the HSV color space, suitable weight functions have been suggested for estimating relative contribution of color and gray levels of an image pixel. The suggested weight values for a pixel and its neighbor are used to construc...

We present a tool for automatically generating a visual summary of unstructured text data retrieved from documents, web sites or social media feeds. Unlike tools such as word clouds, we are able to visualise structures and topic relationships occurring in a document. These relationships are determined by a unique approach to co-occurrence analysis. The algorithm applies a decaying function to t...

We present a new robust approach to the detection of rail surface disruptions in high-resolution images by means of 2/2D image analysis. The detection results are used to determine the condition of rails as a precaution to avoid breaks and further damage. Images of rails are taken with color line scan cameras at high resolution of about 0.2 millimeters under specific illumination to enable 2/2D...

This paper put forward a new method of co-occurrence matrix to describe image features. In this paper putting a new implemented work which is comparison with texton co-occurrence matrix to describe image features. Maximum work done successfully using texton co-occurrence matrix. A new class of texture features based on the co-occurrence of gray levels at points. These features are compared with...